IMAGE COMPRESSION USING LBG ALGORITHM
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Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. The LBG algorithm is of iterative type and in each iteration a large set of vectors, generally referred to as training set, is needed to be processed. Usually, vectors sampled from a group of typical signals to be encoded altogether construct a training set T={x1,x 2,?.x M} ,where xi represents a sampled training vector and M represents the size of training set which is far greater than the codebook size N.
Cite As
AARATHY M (2024). IMAGE COMPRESSION USING LBG ALGORITHM (https://www.mathworks.com/matlabcentral/fileexchange/10457-image-compression-using-lbg-algorithm), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Quality >
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1.0.0.0 |